Position Details: Snowflake Solution Architect

Location:	Baltimore, MD
Openings:	1

Description:

Must Have Technical/Functional Skills

Snowflake expertise: Warehouses, databases, roles, RBAC, SCIM, MFA.
Data Engineering: ELT/ETL tools (dbt, Talend), orchestration (Airflow).
Cloud Platforms: AWS, Azure, or GCP with Snowflake integration.
Programming: SQL, Python; familiarity with ML frameworks.
Security & Compliance: Data masking, encryption, audit processes
Strong experience with LLMs (OpenAI, Anthropic, Hugging Face, LangChain).
Proficiency in Python and modern AI frameworks.
Familiarity with vector databases, prompt engineering, and AI best practices.
5+ years of product-focused engineering experience.
Knowledge of cloud deployment and scaling AI systems.
Strong SQL and Python skills.
Hands-on experience with dbt and Snowflake.
Familiarity with cloud platforms (AWS ).
Knowledge of CI/CD, DevOps practices, and data orchestration tools (Airflow, Prefect).
Ability to create lineage graphs, documentation, and validation frameworks

Must Have skills : snowflake, Cortex AI, AWS, DBT

Roles & Responsibilities

Design and manage data pipelines using dbt, Airflow, and CI/CD frameworks.
Implement Snowpipe for continuous ingestion, Streams & Tasks for real-time processing.
Enable AI/ML integration: Support predictive analytics and generative AI use cases.
Leverage Snowflake Cortex and Copilot for LLM-based applications.
Ensure data governance, RBAC, and security compliance across Snowflake environments.
Optimize performance and implement Time Travel, Zero Copy Cloning, and Secure Data Sharing
Build production-ready AI applications and LLM-powered features.
Collaborate with AI + Data teams to develop agentic AI workflows.
Experiment with open-source models and translate prototypes into production systems.
Implement RAG pipelines, fine-tuning, and observability for AI models.
Design and deploy secure, scalable, and highly available architectures on AWS.
Select appropriate AWS services for application design and deployment.
Implement cost-control strategies and disaster recovery plans.
Collaborate with teams to integrate systems and ensure compliance.
Develop Infrastructure as Code (IaC) using Terraform or CloudFormation
Design, build, and maintain data pipelines using dbt for analytics and operational use cases.
Implement standards for data quality, consistency, and reliability. · Optimize query performance and manage compute costs.
Collaborate with analysts and stakeholders to understand data requirements.
Build automation into workflows and ensure compliance with governance policies.

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